The opportunity
GTM Growth Engineering builds AI-native products that help OpenAI's go-to-market and B2B marketing organizations scale with greater speed, intelligence, and operational effectiveness.
What you'll do
Own the production improvement loop across agent behavior, customer and: operator feedback, evaluation, experimentation, and verified business outcomes.
Instrument agent workflows so model interactions, tool use, decisions,: failures, human edits, and downstream outcomes can be understood in context.
Define meaningful quality standards, representative evaluation datasets,: regression coverage, and production monitoring for real GTM workflows.
Investigate why agents underperform across context, knowledge, instructions,: tools, routing, guardrails, or workflow design.
Design and ship targeted behavior improvements, including changes to: prompting, context construction, decision logic, tool use, and human-review paths.
Build backend services, APIs, data models, and feedback pipelines that make: agent behavior observable, steerable, and reproducible.
What they're looking for
- Run controlled experiments, production replays, or staged rollouts to measure: whether changes improve quality and downstream business results.
- Partner with Product, Data Science, Sales, and B2B Marketing to prioritize: high-value problems and define customer and business success.
- Ship with appropriate safeguards for privacy, security, reliability, human: oversight, and safe operational rollout.
- + years of software, backend, applied AI, or product-engineering experience: building reliable production systems.
